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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 78
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What is managed DNS, anyway?

IBM Big Data Hub

Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. It’s certainly possible to manage your own authoritative DNS, but there are some risks. Availability : DNS traffic patterns vary widely and are often unpredictable.

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How NS1 ensures seamless DNS migrations

IBM Big Data Hub

Migrating a mission-critical system like authoritative DNS is always going to involve some amount of risk. Unfortunately, many network admins use this risk potential as a reason to continue using an authoritative DNS service that no longer adds business value. Step six: Optimization The job of fine tuning a network never truly ends.

Risk 75
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How To Improve Your Facility Management With Healthcare Reports

datapine

Like many of today’s most important industries, digital data, metrics and KPIs (key performance indicators) are a part of a bright and prosperous future – and a comprehensive healthcare report has the power to deliver in each of these critical areas. Cutting down unnecessary costs.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

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AWS cloud migration with IBM Turbonomic

IBM Big Data Hub

Life and shift vs. optimized migration planning When migrating to AWS from your on-premises environment, organizations must first decide what migration strategy they would like to employ. re-hosting) and “optimized” modes of migration. There are “ lift and shift ” (i.e.,